AIFeb 27, 2013
Belief Induced by the Partial Knowledge of the Probabilities
arXiv:1302.6844v118 citations
Originality Highly original
AI Analysis
This work addresses a foundational issue in decision theory and uncertainty modeling for agents with incomplete probabilistic information.
The paper tackles the problem of quantifying an agent's beliefs about uncertain events when only partial knowledge of the underlying probabilities is available, resulting in the construction of a belief function to model this scenario.
We construct the belief function that quantifies the agent, beliefs about which event of Q will occurred when he knows that the event is selected by a chance set-up and that the probability function associated to the chance set up is only partially known.